DEVELOPMENT... OpenML
Run
166914

Run 166914

Task 3732 (Supervised Classification) fri_c4_100_25 Uploaded 18-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I80
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.6455
Per class
F measure
0.6192
Per class
Kappa
0.2326
KB relative information score
24.5238
Mean absolute error
0.3745
Mean prior absolute error
0.4969
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.619
Per class
Predictive accuracy
0.62
Prior entropy
0.9956
Recall
0.62
Per class
Relative absolute error
0.7537
Root mean prior squared error
0.4984
Root mean squared error
0.5835
Root relative squared error
1.1708
SciMark benchmark
923.7642
UserCPU time millis
70
UserCPU time millis testing
20
UserCPU time millis training
50